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Junior Machine Learning Engineer Jobs (NOW HIRING)

Advantest

Machine Learning Engineer

San Jose, CA

Advantest is seeking a motivated Junior Machine Learning Engineer to support the development of datadriven and MLpowered solutions for semiconductor R&D, test, and operations teams. In this role,you ...

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How much do junior machine learning engineer jobs pay per year?

As of Jun 2, 2026, the average yearly pay for junior machine learning engineer in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What Does a Junior Machine Learning Engineer Do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a Junior Machine Learning Engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

More about Junior Machine Learning Engineer jobs
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What are the most commonly searched types of Machine Learning Engineer jobs? The most popular types of Machine Learning Engineer jobs are:
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What job categories do people searching Junior Machine Learning Engineer jobs look for? The top searched job categories for Junior Machine Learning Engineer jobs are:
Junior Machine Learning Engineer jobs near you

Junior Machine Learning Engineer, News Team (Cupertino)

Jobright.ai

Cupertino, CA • On-site

Full-time

Medical, Vision, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Junior Machine Learning Engineer, News Team

Join to apply for the Junior Machine Learning Engineer, News Team role at Jobright.ai

Junior Machine Learning Engineer, News Team

1 day ago Be among the first 25 applicants

Join to apply for the Junior Machine Learning Engineer, News Team role at Jobright.ai

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Job Summary:

Apple is a company where new ideas quickly become phenomenal products and services. The Apple News team is looking for a passionate and self-driven Machine Learning Engineer to design and implement advanced machine learning models that enhance user experiences in the News domain.

Responsibilities:

Design and implement state-of-the-art machine learning models that process text, personalize feeds, and make the impossible possible.

Collect model training data, design model architecture, and train custom or fine tuned models or adapters suited for application features.

Partner with cross-functional teams at the intersection of technology and liberal arts to design and implement end-to-end machine learning enabled features.

Drive application features from concept, model design, development and all the way to delivery.

Join a thriving machine learning community at Apple.

Qualifications:

Required:

MS in Machine Learning, Computer Science or related field. Alternatively, equivalent industry experience to an MS degree is acceptable.

At least 2 years of experience shipping machine learning models in products.

Strong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, TensorFlow, or similar.

Ability to communicate effectively and collaborate with partner teams.

Committed to encouraging an open and inclusive work environment.

Preferred:

Ph.D. in Machine Learning, Computer Science, or related field

5 years of experience shipping machine learning models in products

Experience with personalized ranking and scoring is a plus

Experience with text data and NLP tasks is a plus

Experience delivering high quality software at scale is a plus

Experience designing user-facing machine learning features with interdisciplinary partners is a plus.

Company:

Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software. Founded in 1976, the company is headquartered in Cupertino, California, USA, with a team of 10001+ employees. The company is currently Public Company. Apple has a track record of offering H1B sponsorships.

Seniority level
  • Seniority levelEntry level
Employment type
  • Employment typeFull-time
Job function
  • IndustriesSoftware Development

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